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Long time no See, Hulu machine learning questions and Answers series and updated again!You can click "Machine Learning" in the menu bar to review all the previous installments of this series and leave a message to express your thoughts and ideas, and perhaps see your testimonials in the next article.Today's theme is"Dimensionality Reduction"IntroductionThe univer

. The standard answer is not limited to the selection of indicators, even if the selection of evaluation indicators, there will still be a model over-fitting or under-fitting, test set and training set division, offline evaluation and online test sample distribution differences and so on a series of problems. However, the question of the choice of evaluation indicators is the most likely to be found and the factors that will most affect the outcome of

I hear that Hulu machine learning is better than a winter weekend.You can click "Machine Learning" in the menu bar to review all the previous installments of this series and comment on your thoughts and comments.At the same time, in order to make everyone better understand Hulu, the menu "about Hulu" also made the corr

This is the second machine study this week, is also the 17th article of the Hulu Face Test series ~ All the content before can be found in the menu bar "machine learning", may you warm, know new.Today's content is"Classical variants of the random gradient descent algorithm"Scenario DescriptionReferring to the optimization method in deep learning, people would think of stochastic Gradient descent (SGD), but

Nocedal. "On the limited memory BFGS method for large scale optimization." Mathematical Programming 45.1 (1989): 503-528.Next Topic Preview"The classical variant of the random gradient descent algorithm "Scenario DescriptionReferring to the optimization method in deep learning, people would think of stochastic Gradient descent (SGD), but SGD is not the ideal balm, but sometimes it becomes a pit. When you design a deep neural network, if you only know to train with SGD, and in many cases you get

Java concurrency series [2] ---- exclusive mode of AbstractQueuedSynchronizer source code analysis, In the previous article "Java concurrency series [1] ---- brief analysis of AbstractQueuedSynchronizer source code analysis", we introduced some basic concepts of AbstractQueuedSynchronizer, mainly focusing on how AQS queues are implemented, what is the

Java concurrent series of AbstractQueuedSynchronizer source code analysis (exclusive mode ), In the previous article "Java concurrency series [1] ---- brief analysis of AbstractQueuedSynchronizer source code analysis", we introduced some basic concepts of AbstractQueuedSynchronizer, mainly focusing on how AQS queues are implemented, what is the

conditional on the release of GM1, and T4 is executed after the release of gm2, t1 is executed only after both GM1 and gm2 are released. At the end of the main () function, waithandle is used to wait for the signals of all autoresetevent objects. The signals of these objects represent the end of the corresponding thread. C # multi-thread Learning Series (strongly recommended) § 1. C # multithreading (I) Related Concepts of multithreading (r